The influence of land use on forest structure, species composition, and soil conditions in headwater-slope wetlands of coastal Alabama, USA

Barksdale, W. Flynt; Anderson, Christopher J.

doi:10.1080/21513732.2013.876449

Cited by 7 publications

(4 citation statements)

References 37 publications

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“…Loewenstein 2005;Merriam and Feil 2002). Several studies have detected a negative relationship between L. sinense cover and tree density, possibly supporting this hypothesis (Barksdale and Anderson 2015;Hagan et al 2014;Hanula et al 2009;Wilcox and Beck 2007). Additionally, Hagan et al (2014) reported that tree basal area was lower in invaded plots (but recall the earlier discussion on invasion frameworks).…”

Section: Woody Speciesmentioning

confidence: 75%

“…Similar to herbaceous species, the density of understory and midstory woody plants, including shrubs, saplings, and seedlings, is often lower in invaded areas compared with uninvaded areas and has been shown to be negatively correlated with measures of L. sinense prevalence (Barksdale and Anderson 2015;Hanula et al 2009;Hart and Holmes 2013;Kittel 2001;Loewenstein and Loewenstein 2005;Merriam and Feil 2002). Specifically, Wilcox and Beck (2007) found that native shrub density in plots with high (90.6 ± 4.6%) L. sinense cover was about one-third that of plots with low (0.4 ± 0.6%) or medium (13.6 ± 1.5%) L. sinense cover.…”

Section: Woody Speciesmentioning

confidence: 99%

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The ecological effects of Chinese privet (Ligustrum sinense) invasion: a synthesis

Cash

Anderson

Gulsby

2020

Invasive plant sci. manag.

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Chinese privet (Ligustrum sinense Lour.) is a deciduous to evergreen shrub with an expansive nonnative global range. Control costs are often high, so land managers must carefully consider whether the plant’s potential negative effects warrant active management. To help facilitate this decision-making process, we reviewed and synthesized the literature on the potential ecological effects of L. sinense invasion. We also identified research gaps in need of further study. We found ample evidence of negative relationships between L. sinense invasion and native plant communities. While observational studies are not able to confirm whether L. sinense is driving these relationships, experimental evidence suggests that there is a cause–effect relationship. Of particular concern is the possibility that L. sinense could suppress forest regeneration and cause areas to transition from forest to L. sinense–dominated shrublands. Although this outcome would obviously impact a wide variety of wildlife species, empirical evidence of negative effects of L. sinense on wildlife are limited, and some species may actually benefit from the additional cover and foraging opportunities that L. sinense can provide. Further research on the potential effects of L. sinense invasion on large-scale forest structure and wildlife populations is needed. In areas where L. sinense invasion is a concern, evidence suggests early detection and management can mitigate control costs.

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Section: Woody Speciesmentioning

confidence: 75%

Section: Woody Speciesmentioning

confidence: 99%

The ecological effects of Chinese privet (Ligustrum sinense) invasion: a synthesis

Cash

Anderson

Gulsby

2020

Invasive plant sci. manag.

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“…The pattern of nutrient retention, a diverse flora and fauna, and public appreciation of a 'wetland park' is similar to the ecosystem services that have been demonstrated over 20 years at the urban Olentangy River Wetland Research Park in Columbus, Ohio, USA (Mitsch et al 1998(Mitsch et al , 2012(Mitsch et al , 2014. Barksdale and Anderson (2015) investigated the impact of land use and land cover on canopy tree density, diameter, species cover, importance values, and soil value/ chroma in headwater wetlands in coastal Alabama, USA. The authors found that exotic species cover was significantly related to land-use change.…”

Section: Ecosystem Services Of Wetlandsmentioning

confidence: 89%

Ecosystem services of wetlands

Mitsch

Bernal

Hernández

2015

International Journal of Biodiversity Science, Ecosystem Servic

302

136

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“…It is widely documented that the alterations of LULC have caused severe environmental problems, such as floods, landslides, deforestation, loss of biodiversity, and urbanization, among others [2][3][4][5][6][7] due to mismanagement of agriculture, forest, urban, wetland, and forest. So, LULC maps are very essential for understanding any unprecedented changes in agriculture [8][9][10], forest ecosystems [7,11], biodiversity/ecological process [6], environmental process, and hazard assessment [4]. LULC change information is essential for providing vital input to decision-making bodies of natural resources management including town planning.…”

Section: Introductionmentioning

confidence: 99%

Polarimetric decomposition methods for LULC mapping using ALOS L-band PolSAR data in Western parts of Mizoram, Northeast India

Parida

Mandal

2020

SN Appl. Sci.

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The rapid advancement of remote sensing and availability of polarimetric SAR (PolSAR) data have facilitated to monitor the land use land cover (LULC) dynamics. In the recent past, polarimetric decomposition theorems are applied widely to perform LULC classification with the help of machine learning techniques. In this study, we utilized ALOS PALSAR-1 L-band quad polarimetric data for performing polarimetric decomposition, textural information extraction, and to generate LULC maps over the western part of Mizoram state, northeast India. The study area comprises three districts, namely Mamit, Lunglei, and Lawngtlai. We adopted two representative full-polarimetric decomposition models: classical model-based Freeman-Durden and Yamaguchi decomposition. These methods decompose the coherency matrix of PolSAR images into surface, double-bounce, and volume scattering. Textural measures, such as variance, contrast, entropy, homogeneity, dissimilarity, and uniformity are also retrieved using grey-level co-occurrence matrix (GLCM) for LULC classification. For LULC classification, we employed a support vector machine classifier and calculated the area statistics of LULC. The outcomes were checked with the help of confusion matrix derived for six classes, such as built-up, deciduous forest, evergreen forest, scrubland, bareland, and waterbody. Each LULC class is separated using the scattering properties of PolSAR images. Results exhibited that Yamaguchi four-component decomposition (overall accuracy 90% and kappa coefficient 0.88) gives relatively better LULC classification results than the Freeman-Durden three-component decomposition (overall accuracy 87% and kappa coefficient 0.84). Use of textural images of GLCM has supported the classification accuracy at par with the Yamaguchi model. Integration of polarimetric information offers a new dimension in LULC classification and produces high accuracy maps. This approach overcomes the limitations of optical data in cloud covering areas, and furthermore, it provides better classification accuracy.

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The influence of land use on forest structure, species composition, and soil conditions in headwater-slope wetlands of coastal Alabama, USA

Cited by 7 publications

References 37 publications

The ecological effects of Chinese privet (Ligustrum sinense) invasion: a synthesis

The ecological effects of Chinese privet (Ligustrum sinense) invasion: a synthesis

Ecosystem services of wetlands

Polarimetric decomposition methods for LULC mapping using ALOS L-band PolSAR data in Western parts of Mizoram, Northeast India

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